Machine learning reveals widespread integrity concerns in cancer studies, highlighting paper mill risks and why publishers must strengthen research oversight.
A new machine learning tool has identified more than 250,000 cancer research papers that may have been produced by so-called ...
Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.
What are the benefits and challenges of using multiomics approaches to discover cancer biomarkers? Multiomics means that scientists are measuring more than one class of analyte, such as DNA, RNA, or ...
We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...
A machine learning (ML) model incorporating both clinical and genomic factors outperformed models based solely on either clinical or genomic data in predicting which patients with hormone receptor (HR ...
Flatiron Health presents two new pieces of research demonstrating the potential of AI to advance oncology research across multiple tumor types Flatiron Health today announced that the novel findings ...
University of Queensland researchers who mapped cancer cell "neighborhoods" in the most common type of lung cancer have found ...
Scientists in Australia have mapped the "neighbourhoods" of lung cancer cells and found that cell metabolism plays a key role ...
Startup SpotitEarly is pioneering an innovative early cancer screening test based on breath samples and powered by artificial intelligence and the strong scent detection of trained dogs. SpotitEarly ...
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